$ ~/registry/skill/composiohq-composio-skills-cabinpanda-automation

SKILL

cabinpanda-automation

Name: cabinpanda-automation
Author: Composio

Automate Cabinpanda tasks through Rube MCP to speed up document workflows.

Stars

★ 67,807

Source

GitHub

Updated

2026-07-15

// securityCaution

Prompt only, no code
Open source
Community-trusted· 64.7k

Summary

This skill is primarily prompt/documentation-like and does not directly require local secrets or local code execution, so the overall risk is low. However, it is designed to connect to remote services via Rube MCP and drive Cabinpanda/Composio toolchains, which introduces network egress and third-party connection authorization considerations.

CredentialsCaution

The material says 'no API keys needed', but the workflow still requires establishing a Cabinpanda connection via `RUBE_MANAGE_CONNECTIONS` and completing external authorization. This means credentials are handled through the Rube/Composio connection layer rather than being truly absent; review token scope and custody carefully.

Network egressCaution

The README explicitly requires adding the remote MCP endpoint `https://rube.app/mcp` and executing remote tool calls through Composio/Cabinpanda. User task content, parameters, session IDs, and possibly business data may be sent to the stated third-party services. The endpoint is clearly identified, making this a standard external-connectivity concern rather than an exceptional red flag.

Code executionLow risk

Based on the provided material, this is a prompt-only skill description with no executable scripts, install commands, or local process-spawning steps. It mainly instructs how to invoke existing MCP tools rather than directly executing code on the local machine.

Data accessCaution

The skill aims to 'Automate Cabinpanda operations' and supports remote actions such as `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH`. While no local filesystem permissions are described, access to Cabinpanda account/business objects depends on the granted connection scope, creating the usual risk of reading or modifying third-party business data.

Supply chainLow risk

The source is an open GitHub repository and is system-labeled as open-source, with very strong community adoption (64.7k stars), which are meaningful positive signals. Although the license is not stated and maintenance status is unknown, and the repo appears to be a skill collection rather than a standalone implementation, the materials do not show a clear supply-chain red flag.

Recommendations

Only add `https://rube.app/mcp` after confirming you trust Rube/Composio/Cabinpanda and reviewing their privacy and data-handling terms.
Use least-privilege authorization when connecting Cabinpanda, and avoid granting access unrelated to the intended automation task.
Review the tool schemas returned by `RUBE_SEARCH_TOOLS` before execution to avoid sending sensitive fields or unnecessary business data to remote tools.
Validate the automation flow in a test account or restricted-data environment first.

Audited by: gpt-5.4 · 2026-06-17

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "cabinpanda-automation" skill from askskill:
1. Download https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/cabinpanda-automation/SKILL.md
2. Save it as ~/.claude/skills/cabinpanda-automation/SKILL.md
3. Reload skills and tell me it's ready

// download

Download SKILL.mdInstall manifest ↗

// docs

Cabinpanda Automation via Rube MCP

Automate Cabinpanda operations through Composio's Cabinpanda toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/cabinpanda

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
Active Cabinpanda connection via RUBE_MANAGE_CONNECTIONS with toolkit cabinpanda
Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
Call RUBE_MANAGE_CONNECTIONS with toolkit cabinpanda
If connection is not ACTIVE, follow the returned auth link to complete setup
Confirm connection status shows ACTIVE before running any workflows

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS
queries: [{use_case: "Cabinpanda operations", known_fields: ""}]
session: {generate_id: true}

This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.

Core Workflow Pattern

Step 1: Discover Available Tools

RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Cabinpanda task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["cabinpanda"]
session_id: "your_session_id"

Step 3: Execute Tools

RUBE_MULTI_EXECUTE_TOOL
tools: [{
  tool_slug: "TOOL_SLUG_FROM_SEARCH",
  arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"

Known Pitfalls

Always search first: Tool schemas change. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS
Check connection: Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools
Schema compliance: Use exact field names and types from the search results
Memory parameter: Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({})
Session reuse: Reuse session IDs within a workflow. Generate new ones for new workflows
Pagination: Check responses for pagination tokens and continue fetching until complete

Quick Reference

Operation	Approach
Find tools	`RUBE_SEARCH_TOOLS` with Cabinpanda-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `cabinpanda`
Execute	`RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs
Bulk ops	`RUBE_REMOTE_WORKBENCH` with `run_composio_tool()`
Full schema	`RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef`

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